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# Thrust: Code at the speed of light
Thrust is a C++ parallel programming library which resembles the C++ Standard
Library. Thrust's **high-level** interface greatly enhances
programmer **productivity** while enabling performance portability between
GPUs and multicore CPUs. **Interoperability** with established technologies
(such as CUDA, TBB, and OpenMP) facilitates integration with existing
software. Develop **high-performance** applications rapidly with Thrust!
Thrust is included in the NVIDIA HPC SDK and the CUDA Toolkit.
## Quick Start
### Getting the Thrust Source Code
The CUDA Toolkit provides a recent release of the Thrust source code in
`include/thrust`. This will be suitable for most users.
Users that wish to contribute to Thrust or try out newer features should
recursively clone the Thrust Github repository:
```
git clone --recursive https://github.com/NVIDIA/thrust.git
```
### Using Thrust From Your Project
Thrust is a header-only library; there is no need to build or install the project
unless you want to run the Thrust unit tests.
For CMake-based projects, we provide a CMake package for use with
`find_package`. See the [CMake README](thrust/cmake/README.md) for more
information. Thrust can also be added via `add_subdirectory` or tools like
the [CMake Package Manager](https://github.com/TheLartians/CPM.cmake).
For non-CMake projects, compile with:
- The Thrust include path (`-I<thrust repo root>/thrust`)
- The CUB include path, if using the CUDA device system (`-I<thrust repo root>/dependencies/cub/`)
- By default, the CPP host system and CUDA device system are used.
These can be changed using compiler definitions:
- `-DTHRUST_HOST_SYSTEM=THRUST_HOST_SYSTEM_XXX`,
where `XXX` is `CPP` (serial, default), `OMP` (OpenMP), or `TBB` (Intel TBB)
- `-DTHRUST_DEVICE_SYSTEM=THRUST_DEVICE_SYSTEM_XXX`, where `XXX` is
`CPP`, `OMP`, `TBB`, or `CUDA` (default).
### Examples
Thrust is best explained through examples. The following source code
generates random numbers serially and then transfers them to a parallel
device where they are sorted.
```c++
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <thrust/generate.h>
#include <thrust/sort.h>
#include <thrust/copy.h>
#include <algorithm>
#include <cstdlib>
int main(void)
{
// generate 32M random numbers serially
thrust::host_vector<int> h_vec(32 << 20);
std::generate(h_vec.begin(), h_vec.end(), rand);
// transfer data to the device
thrust::device_vector<int> d_vec = h_vec;
// sort data on the device (846M keys per second on GeForce GTX 480)
thrust::sort(d_vec.begin(), d_vec.end());
// transfer data back to host
thrust::copy(d_vec.begin(), d_vec.end(), h_vec.begin());
return 0;
}
```
This code sample computes the sum of 100 random numbers in parallel:
```c++
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <thrust/generate.h>
#include <thrust/reduce.h>
#include <thrust/functional.h>
#include <algorithm>
#include <cstdlib>
int main(void)
{
// generate random data serially
thrust::host_vector<int> h_vec(100);
std::generate(h_vec.begin(), h_vec.end(), rand);
// transfer to device and compute sum
thrust::device_vector<int> d_vec = h_vec;
int x = thrust::reduce(d_vec.begin(), d_vec.end(), 0, thrust::plus<int>());
return 0;
}
```
Additional usage examples can be found in the [`examples/`](examples/) and
[`testing/`](testing/) directories of the Github repo.
## Documentation Resources
- [API Reference](https://thrust.github.io/doc/modules.html)
- [Examples](https://github.com/NVIDIA/thrust/tree/main/examples)
- [User Support](https://github.com/NVIDIA/thrust/discussions)
## CI Status
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## Supported Compilers
Thrust is regularly tested using the specified versions of the following
compilers. Unsupported versions may emit deprecation warnings, which can be
silenced by defining THRUST_IGNORE_DEPRECATED_COMPILER during compilation.
- NVCC 11.0+
- NVC++ 20.9+
- GCC 5+
- Clang 7+
- MSVC 2019+ (19.20/16.0/14.20)
## Releases
Thrust is distributed with the NVIDIA HPC SDK and the CUDA Toolkit in addition
to GitHub.
See the [changelog](CHANGELOG.md) for details about specific releases.
| Thrust Release | Included In |
| ----------------- | --------------------------------------- |
| 1.15.0 | TBD |
| 1.14.0 | NVIDIA HPC SDK 21.9 |
| 1.13.1 | CUDA Toolkit 11.5 |
| 1.13.0 | NVIDIA HPC SDK 21.7 |
| 1.12.1 | CUDA Toolkit 11.4 |
| 1.12.0 | NVIDIA HPC SDK 21.3 |
| 1.11.0 | CUDA Toolkit 11.3 |
| 1.10.0 | NVIDIA HPC SDK 20.9 & CUDA Toolkit 11.2 |
| 1.9.10-1 | NVIDIA HPC SDK 20.7 & CUDA Toolkit 11.1 |
| 1.9.10 | NVIDIA HPC SDK 20.5 |
| 1.9.9 | CUDA Toolkit 11.0 |
| 1.9.8-1 | NVIDIA HPC SDK 20.3 |
| 1.9.8 | CUDA Toolkit 11.0 Early Access |
| 1.9.7-1 | CUDA Toolkit 10.2 for Tegra |
| 1.9.7 | CUDA Toolkit 10.2 |
| 1.9.6-1 | NVIDIA HPC SDK 20.3 |
| 1.9.6 | CUDA Toolkit 10.1 Update 2 |
| 1.9.5 | CUDA Toolkit 10.1 Update 1 |
| 1.9.4 | CUDA Toolkit 10.1 |
| 1.9.3 | CUDA Toolkit 10.0 |
| 1.9.2 | CUDA Toolkit 9.2 |
| 1.9.1-2 | CUDA Toolkit 9.1 |
| 1.9.0-5 | CUDA Toolkit 9.0 |
| 1.8.3 | CUDA Toolkit 8.0 |
| 1.8.2 | CUDA Toolkit 7.5 |
| 1.8.1 | CUDA Toolkit 7.0 |
| 1.8.0 | |
| 1.7.2 | CUDA Toolkit 6.5 |
| 1.7.1 | CUDA Toolkit 6.0 |
| 1.7.0 | CUDA Toolkit 5.5 |
| 1.6.0 | |
| 1.5.3 | CUDA Toolkit 5.0 |
| 1.5.2 | CUDA Toolkit 4.2 |
| 1.5.1 | CUDA Toolkit 4.1 |
| 1.5.0 | |
| 1.4.0 | CUDA Toolkit 4.0 |
| 1.3.0 | |
| 1.2.1 | |
| 1.2.0 | |
| 1.1.1 | |
| 1.1.0 | |
| 1.0.0 | |
## Development Process
Thrust uses the [CMake build system](https://cmake.org/) to build unit tests,
examples, and header tests. To build Thrust as a developer, the following
recipe should be followed:
```
# Clone Thrust and CUB repos recursively:
git clone --recursive https://github.com/NVIDIA/thrust.git
cd thrust
# Create build directory:
mkdir build
cd build
# Configure -- use one of the following:
cmake .. # Command line interface.
ccmake .. # ncurses GUI (Linux only)
cmake-gui # Graphical UI, set source/build directories in the app
# Build:
cmake --build . -j <num jobs> # invokes make (or ninja, etc)
# Run tests and examples:
ctest
```
By default, a serial `CPP` host system, `CUDA` accelerated device system, and
C++14 standard are used. This can be changed in CMake. More information on
configuring your Thrust build and creating a pull request can be found in
[CONTRIBUTING.md](CONTRIBUTING.md).
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